Sumit Kumar

1.6k citations
48 papers · 1.0k · h-index 17

Impact in

Papers in

    • Genomics and Phylogenetic Studies 7
    • Enzyme Catalysis and Immobilization 6
    • Microbial Metabolic Engineering and Bioproduction 4
    • Enzyme Production and Characterization 8

Sumit Kumar

45 papers receiving 997 citations

Peers

Sumit Kumar
Comparison fields: 5 of 112
  • Biotechnology 217
  • Industrial and Manufacturing Engineering 121
  • Pollution 147
  • Soil Science 56
  • Molecular Biology 373
Replace Umi Kalsom Md Shah with:
Umi Kalsom Md Shah Malaysia
Abhishek Walia India
Anju Arora India
Danay Carrillo-Nieves Mexico
Anil Kuruvilla Mathew India
Muhammad Zohaib Nawaz China
Ana R. Prazeres Portugal
Anupama India
Yonghua Zhu China
Xuejiao An China
Sumit Kumar relative to Umi Kalsom Md Shah Malaysia Umi Kalsom Md Shah's profile →
Citations per field
00.5×7.5×
Umi Kalsom Md Shah · 1×
Citations per year

Countries citing papers authored by Sumit Kumar

Since Specialization
Citations

This map shows the geographic impact of Sumit Kumar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sumit Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumit Kumar more than expected).

Fields of papers citing papers by Sumit Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sumit Kumar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sumit Kumar. The network helps show where Sumit Kumar may publish in the future.

Co-authors

The 25 scholars most cited alongside Sumit Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sumit Kumar Line = papers co-authored together Sumit Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019184
2 2012105
3 201481
4 201972
5 202170
6 201156
7 199853
8 202050
9 202426
10
Bioremediation Of Chlorpyrifos By Bacteria Isolated From The Cultivated Soils
201120
11 201520
12 201720
13 201620
14 202019
15 202018
16 201617
17 202117
18 202016
19 201215
20 202213

About Sumit Kumar

Sumit Kumar is a scholar working on Molecular Biology, Biotechnology, Pollution, Ecology and Plant Science, having authored 48 papers that have together received 1.0k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (8 papers), Genomics and Phylogenetic Studies (7 papers), Enzyme Catalysis and Immobilization (6 papers), Microbial Community Ecology and Physiology (6 papers), Anaerobic Digestion and Biogas Production (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Biofuel production and bioconversion (3 papers) and Microbial bioremediation and biosurfactants (3 papers). The work is most often cited by research in Biotechnology (217 citations), Industrial and Manufacturing Engineering (121 citations), Pollution (147 citations), Soil Science (56 citations) and Molecular Biology (373 citations). Sumit Kumar has collaborated with scholars based in India, China and United States. Frequent co-authors include Sunil Kumar Khare, Ram Karan, Arvind Sinha, Sanjay Kapoor, Satya P. Singh, Lata Nain, Arunachalam Ramanan, Amit K. Singh, Hongyu Chen and Debabrat Baishya. Their work appears in journals such as Bioresource Technology, Plant Physiology and Biochemistry, Extremophiles, Applied Microbiology and Biotechnology and Environmental Pollution.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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